2) buf[0] |= y.Bytes()[{{.p}}ElementLength-1] & 1 buf = append(buf, x.Bytes()...) return buf } // Add sets q = p1 + p2, and returns q. The points may overlap. func (q *{{.P}}Point) Add(p1, p2 *{{.P}}Point) *{{.P}}Point { // Complete addition formula for a = -3 from "Complete addition formulas for // prime order elliptic curves" (https://eprint.iacr.org/2015/1060), §A.2. t0 := new({{.Element}}).Mul(p1.x, p2.x) // t0 := X1 * X2 t1 := new({{.Element}}).Mul(p1.y, p2.y) // t1 := Y1 * Y2 t2 := new({{....

### Windows containerd support graduates to beta

Initially introduced in Kubernetes 1.18, Windows containerd support goes to Beta on this release. This includes the added support for Windows Server version 2004 (complete version compatibility can be found in the [documentation for Windows](https://kubernetes.io/docs/setup/production-environment/windows/intro-windows-in-kubernetes/#cri-containerd)).

    `tensorflow-gpu` will still be available, and CPU-only packages can be
    downloaded at `tensorflow-cpu` for users who are concerned about package
    size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0

INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

### Refactors